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We propose a semi-parametric spatial auto-covariance specification of the growth model to examine the growth behaviour of European regions in the period 1988-2000. This specification simultaneously takes account of the problems of non-linearities and spatial dependence. We obtain two main...
Persistent link: https://www.econbiz.de/10014069990
This paper analyses region-level technical efficiency in the European Union over the 1995 to 2007 period. We propose the application of a nonparametric conditional frontier methodology to account for the presence of geographical externalities that are beyond the control of regional authorities....
Persistent link: https://www.econbiz.de/10012970084
Although panel data have been used intensively by a wealth of studies investigating the GDP-pollution relationship, the poolability assumption used to model these data is almost never addressed. This paper applies a strategy to test the poolability assumption with methods robust to functional...
Persistent link: https://www.econbiz.de/10003980354
Regression analyses of cross-country economic growth data are complicated by two main forms of model uncertainty: the uncertainty in selecting explanatory variables and the uncertainty in specifying the functional form of the regression function. Most discussions in the literature address these...
Persistent link: https://www.econbiz.de/10011382708
-samples of Europe, Asia, Latin America and Africa …
Persistent link: https://www.econbiz.de/10012999621
Persistent link: https://www.econbiz.de/10001717623
The explanation of productivity differentials is very important to identify the economic conditions that create inefficiency and to improve managerial performance. In literature two main approaches have been developed: one-stage approaches and two-stage approaches. Daraio and Simar (2003)...
Persistent link: https://www.econbiz.de/10003098388
Quantile regression (QR) is a principal regression method for analyzing the impact of covariates on outcomes. The impact is described by the conditional quantile function and its functionals. In this paper we develop the nonparametric QR series framework, covering many regressors as a special...
Persistent link: https://www.econbiz.de/10014178851
Many estimation methods of truncated and censored regression models such as the maximum likelihood and symmetrically censored least squares (SCLS) are sensitive to outliers and data contamination as we document. Therefore, we propose a semiparametric general trimmed estimator (GTE) of truncated...
Persistent link: https://www.econbiz.de/10014047660
Integer-valued autoregressive (INAR) processes have been introduced to model nonnegative integer-valued phenomena that evolve over time. The distribution of an INAR(p) process is essentially described by two parameters: a vector of autoregression coefficients and a probability distribution on...
Persistent link: https://www.econbiz.de/10014050438